AI Visibility
measured50/100
Frequently Cited · in GPU Cloud
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals53/100
Some gaps
Avg Prompt Score
26
across 163 prompts
AI Share of Voice
26%
across 163 prompts
Critical Issues
6
critical + high
Shortlist Position
17/35
Challenger · Gpu Cloud Discovery
How AI Visibility breaks down
in GPU Cloud
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Categories Crusoe Cloud is visible in
1Your visibility gap
Crusoe Cloud surfaces in 17/35 Gpu Cloud discovery prompts. Claim this profile to see which 18 prompts you're missing and how to win them.
Executive summary
Crusoe.ai is a B2B GPU cloud provider and is already cited for several mid-funnel GPU-cloud discovery/evaluation patterns (e.g., A100/H100 instance types, H100 availability, reserved/spot pricing, and multi-GPU training clusters). The biggest AI-citation risk is missing coverage for high-intent discovery queries like “cheapest GPU cloud for AI startups” and “GPU cloud with 80GB VRAM availability,” which typically require first-party, crawlable pages that explicitly map GPU capacity + cost model + workload type (inference, real-time inference, RL, diffusion, CV). Highest-ROI fix: create dedicated, SSR-crawlable landing pages for each missing buyer query (80GB VRAM, cheapest for startups, spot instances, inference/real-time, RL, diffusion, CV) and wire them into FAQPage + SoftwareApplication schema so AI engines can extract direct answers.
Based on audit of crusoe.ai · May 4, 2026